代码搜索：classifier
找到约 4,824 项符合「classifier」的源代码
代码结果 4,824
www.eeworm.com/read/314653/13562700
m fixedcc.m
%FIXEDCC Construction of fixed combiners
%
% V = FIXEDCC(A,W,TYPE,NAME)
%
% INPUT
% A Dataset
% W A set of classifier mappings
% TYPE The type of combination rule
% NAME The na
www.eeworm.com/read/133885/5898877
java expsinglelm.java
/**
* Single classifier solution. That is to say, we cluster all the instances
* using the same clustering algorithms.
*
* This is a "low memory" version, written to see if memory consumption
www.eeworm.com/read/128684/5980321
m display.m
function display(net)
% DISPLAY
%
% Display a textual representation of a support vector classifier object.
%
% display(net);
%
% File : @svc/display.m
%
% Date : Wednesd
www.eeworm.com/read/359185/6352515
m contents.m
% Classification GUI and toolbox
% Version 1.0
%
% GUI start commands
%
% classifier - Start the classification GUI
% enter_distributions - Starts the parameter input screen (used by classif
www.eeworm.com/read/493206/6398493
m contents.m
% Classification GUI and toolbox
% Version 1.0
%
% GUI start commands
%
% classifier - Start the classification GUI
% enter_distributions - Starts the parameter input screen (used by classif
www.eeworm.com/read/493294/6400484
m fixedcc.m
%FIXEDCC Construction of fixed combiners
%
% V = FIXEDCC(A,W,TYPE,NAME)
%
% INPUT
% A Dataset
% W A set of classifier mappings
% TYPE The type of combination rule
% NAME The na
www.eeworm.com/read/483114/6609665
m display.m
function display(net)
% DISPLAY
%
% Display a textual representation of a support vector classifier object.
%
% display(net);
%
% File : @svc/display.m
%
% Date : Wednesd
www.eeworm.com/read/410924/11264835
m contents.m
% Classification GUI and toolbox
% Version 1.0
%
% GUI start commands
%
% classifier - Start the classification GUI
% enter_distributions - Starts the parameter input screen (used by classif
www.eeworm.com/read/405069/11472196
m contents.m
% Classification GUI and toolbox
% Version 1.0
%
% GUI start commands
%
% classifier - Start the classification GUI
% enter_distributions - Starts the parameter input screen (used by classif
www.eeworm.com/read/400577/11573195
m clevals.m
%CLEVALS Classifier evaluation (feature size/learning curve), bootstrap possible
%
% E = CLEVALS(A,CLASSF,FEATSIZE,TRAINSIZES,NREPS,T)
%
% INPUT
% A Training dataset
% CLASSF Classi